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PAL

PAL @ Photonics Europe 2026!

·80 words·1 min

Linked Publications

Learned manifold reparameterization for DRC-compatible inverse design in silicon photonics
Bahrem Serhat Danis, Demet Baldan Desdemir, Enes Akcakoca, Zeynep İpek Yanmaz, Gulzade Polat, Ahmet Onur Dasdemir, Aytug Aydogan, Victor Minden, Abdullah Magden, Emir Salih Magden
SPIE Photonics Europe (2026), Machine Learning in Photonics II, paper 14104-21
Conference
Reconfigurable Deep Photonic Recurrent Networks for Optical Information Processing
Ujal Rzayev, Can Dimici, Bahrem Serhat Danis, Aycan Deniz Vit, Arda Tuna Vit, Enes Akcakoca, Zeynep İpek Yanmaz, Emir Salih Magden
SPIE Photonics Europe (2026), Machine Learning in Photonics II, paper 14104-40
Conference

PAL members are heading to Strasbourg for SPIE Photonics Europe 2026!

We are excited to share our latest work in integrated photonics and optical computing with the European photonics community. This year, we have two presentations in the Machine Learning in Photonics II track:

  • Learned Manifold Reparameterization: A learned manifold reparameterization enabling DRC-compatible inverse design in silicon photonics
  • Reconfigurable Deep Photonic Recurrent Networks: Reconfigurable deep photonic recurrent networks for optoelectronic information processing

We look forward to seeing you in Strasbourg!